Fuzzy synthetic evaluation of human resource management practices influencing construction labour productivity

Abstract

Purpose

The main objective of this research is to identify the most important human resource management (HRM) practices, which have the potential to enhance labour productivity using fuzzy synthetic evaluation approach.

Design/methodology/approach

The study used a mixed-methods research design in which qualitative data were collected and analysed during Phase I and quantitative data were analysed during Phase II. Nineteen experts who have experience in building construction projects were involved in interviews conducted in Phase I. During Phase II, quantitative data were collected from contractors that were involved in the delivery of building projects using questionnaires and the data were analysed using FSE technique.

Findings

Clear delegation of responsibility, stability of organisational structure and crew composition are found to be the three most important HRM practices that can enhance productivity in building construction projects. The findings of the study showed that the overall importance index computed using the FSE model is 3.65 (≈ 4) with an equivalent linguistic term of “very important”. The study also suggested that the top three HRM practices should be implemented conjointly as there is no significant difference among their weights.

Originality/value

The output of this research can provide important information regarding the HRM practices in the Australian construction industry. Thus, international developers or contractors who want to do construction business in Australia can implement the essential HRM practices so that the productivity of their construction projects will not be affected negatively.

Citation

Gurmu, A.T. (2021), "Fuzzy synthetic evaluation of human resource management practices influencing construction labour productivity", International Journal of Productivity and Performance Management, Vol. 70 No. 2, pp. 256-276. https://doi.org/10.1108/IJPPM-04-2019-0198